10 condition-monitoring-machine-learning Postdoctoral positions at University of Houston Central Campus
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working at the intersection of computer vision, and 3D AI for the built environment. Our goal is to transform how physical environments and infrastructure are captured, analyzed, and monitored using
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acquisition and management. This role directly builds upon Ph.D. research by applying advanced 3D imaging, algorithm design, machine learning, software engineering and visualization techniques to a real-world
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strong interest in machine learning and deep learning algorithms · Research and publication experience in health outcomes research Application Materials: · CV · Cover letter · Contact information for three
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qualified candidates to apply for a postdoctoral research position. The research will focus on statistical modeling, machine learning and trustworthy AI to develop effective and efficient algorithms
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members across electrical engineering, earth science, signal processing, and machine learning to ensure methodological rigor and practical relevance. Qualifications: -Ph.D. in Electrical Engineering
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experiences related to one or more of the following areas: embedded or mobile device security, embedded systems applications, machine learning security, user-centric security and privacy. 3. Experience and
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focuses on the study of magnetic and electronic excitations in new materials such as unconventional superconductors, 2D magnets. We also studies these materials under operating conditions and under laser
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. The research interests include superconductivity, topological physics, fundamental condensed matter physics at extreme conditions, high static pressure technology, and development of novel diagnostic
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on translational, clinical, and outcomes research. Research is conducted in collaboration with expert faculty researchers from the University of Houston College of Pharmacy. The fellow will learn in vitro
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skills to allow for completion of assignments that cross fields of specialization. Develops leadership and management skills. The Texas Center for Learning Disorders (TCLD), in collaboration with